Table 2.
Results from mediation analyses modeling naloxone administration as a mediator in the relationship between suspected (A) cocaine or (B) methamphetamine co-involvement and overdose survival, for 24,992 ODIN-recorded opioid overdoses from 63 Pennsylvania counties, 2018–2024.
| (A) Cocaine | (B) Methamphetamine | |
|---|---|---|
|
| ||
| Logit Coefficient [95% CI] | Logit Coefficient [95% CI] | |
|
| ||
| Total effect | −0.161*** [−0.185, −0.136] | −0.166*** [−0.192, −0.139] |
| Average direct effect | −0.099*** [−0.118, −0.079] | −0.101*** [−0.124, −0.078] |
| Average indirect effect | −0.062*** [−0.077, −0.048] | −0.065*** [−0.080, −0.050] |
|
| ||
| Proportion [95% CI] | Proportion [95% CI] | |
|
| ||
| Proportion mediated via naloxone administration | 0.387*** [0.313, 0.460] | 0.392*** [0.313, 0.471] |
Note. Proportion mediated denotes the indirect effect as a percentage of the total effect. Outcome equation includes exposure-mediator interaction. Covariates in outcome and mediator equations: year, incident county, age, gender, race, and drugs co-involved (fentanyl, carfentanil, other synthetic opioids/fentanyl analogs, alcohol, benzodiazepines, heroin, and methamphetamine [in cocaine model]/cocaine[in methamphetamine model]). For convention, the term “effect” is used; nevertheless, results are not causal in nature.
p<0.001; p values based on robust standard errors. Data do not include Cameron, Forest, Philadelphia, and Sullivan counties.